Stefano Monti PhD
Associate Professor, Computational Biomedicine
Associate Professor, Biostatistics
75 E. Newton St | (617) 414-7031
BU-BMC Cancer Center
Evans Center for Interdisciplinary Biomedical Research
Stefano Monti is a Computational Biologist and joined the BU faculty in January 2011 in the section of Computational Biomedicine, with joint appointments in the Biostatistics Department and the Bioinformatics program. Monti received his Ph.D. in Intelligent Systems and Artificial Intelligence from the University of Pittsburgh, and completed his training with a post-doctoral fellowship at the Robotics Institute at Carnegie Mellon. His doctoral and post-doctoral research focused on the development of machine learning and knowledge discovery methodologies, with a particular emphasis on probabilistic reasoning and Bayesian approaches to modeling biomedical data. Since 2001, he has worked in the field of Cancer Genomics, first as a Research Scientist at the Whitehead Institute’s Center for Genome Research, and later as a Computational Biologist in the Cancer Program at the Broad Institute.
Dr. Monti's laboratory integrates systems biology, machine learning, and bioinformatics approaches to investigate the molecular drivers of human disease, with the goals of advancing prevention and care. This multidisciplinary effort relies on the development of novel computational methodologies, and on the design of experiments based on the generation and integrative analysis of high-throughput multi-omics data, with the goal of identifying novel therapeutic targets and developing accurate diagnostic and prognostic biomarkers. Specific areas of research include the study of the molecular mechanisms of tumor initiation and progression and of the role played in it by environmental exposure, as well as the study of the biological factors contributing to healthy aging and extreme longevity.
Artificial Intelligence, PhD, University of Pittsburgh, 1999
Artificial Intelligence, MS, University of Pittsburgh, 1995
Computer Science, MS, University of Houston, 1993
Computer Science, BS, Università degli Studi di Udine, 1991
Reed ER, Monti S. Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data. Nucleic Acids Res. 2021 09 27; 49(17):e98. PMID: 34226941.Published on 8/1/2021
Gurinovich A, Song Z, Zhang W, Federico A, Monti S, Andersen SL, Jennings LL, Glass DJ, Barzilai N, Millman S, Perls TT, Sebastiani P. Correction to: Effect of longevity genetic variants on the molecular aging rate. Geroscience. 2021 Aug; 43(4):2101. PMID: 34143375.Published on 7/29/2021
Kim S, Reed E, Monti S, Schlezinger JJ. A Data-Driven Transcriptional Taxonomy of Adipogenic Chemicals to Identify White and Brite Adipogens. Environ Health Perspect. 2021 Jul; 129(7):77006. PMID: 34323617.Published on 7/13/2021
Hicks-Berthet J, Ning B, Federico A, Tilston-Lunel A, Matschulat A, Ai X, Lenburg ME, Beane J, Monti S, Varelas X. Yap/Taz inhibit goblet cell fate to maintain lung epithelial homeostasis. Cell Rep. 2021 Jul 13; 36(2):109347. PMID: 34260916.Published on 5/27/2021
Dela Cruz A, Kartha V, Tilston-Lunel A, Mi R, Reynolds TL, Mingueneau M, Monti S, Jensen JL, Skarstein K, Varelas X, Kukuruzinska MA. Gene expression alterations in salivary gland epithelia of Sjögren's syndrome patients are associated with clinical and histopathological manifestations. Sci Rep. 2021 05 27; 11(1):11154. PMID: 34045583.Published on 5/4/2021
Gurinovich A, Song Z, Zhang W, Federico A, Monti S, Andersen SL, Jennings LL, Glass DJ, Barzilai N, Millman S, Perls TT, Sebastiani P. Effect of longevity genetic variants on the molecular aging rate. Geroscience. 2021 06; 43(3):1237-1251. PMID: 33948810.Published on 3/28/2021
Zhao Y, Federico A, Faits T, Manimaran S, Segrè D, Monti S, Johnson WE. animalcules: interactive microbiome analytics and visualization in R. Microbiome. 2021 03 28; 9(1):76. PMID: 33775256.Published on 1/29/2021
Sebastiani P, Federico A, Morris M, Gurinovich A, Tanaka T, Chandler KB, Andersen SL, Denis G, Costello CE, Ferrucci L, Jennings L, Glass DJ, Monti S, Perls TT. Protein signatures of centenarians and their offspring suggest centenarians age slower than other humans. Aging Cell. 2021 02; 20(2):e13290. PMID: 33512769.Published on 1/7/2021
Chan S, Smith E, Gao Y, Kwan J, Blum BC, Tilston-Lunel AM, Turcinovic I, Varelas X, Cardamone MD, Monti S, Emili A, Perissi V. Loss of G-Protein Pathway Suppressor 2 Promotes Tumor Growth Through Activation of AKT Signaling. Front Cell Dev Biol. 2020; 8:608044. PMID: 33490071.Published on 1/1/2021
Sebastiani P. nf-gwas-pipeline: A Nextflow Genome-Wide Association Study Pipeline. Journal of Open Source Software. 2021; 6(59):2957.
Published on 8/10/2021
Published on 11/18/2019
Published on 5/15/2018View full list of 3 media mentions.